@article{fdi:010065289,
  title = {{R}econstruction of super-resolution ocean p{CO}(2) and air-sea fluxes of {CO}2 from satellite imagery in the southeastern {A}tlantic},
  author = {{H}ernandez-{C}arrasco, {I}. and {S}udre, {J}. and {G}arcon, {V}. and {Y}ahia, {H}. and {G}arbe, {C}. and {P}aulmier, {A}ur{\'e}lien and {D}ewitte, {B}oris and {I}llig, {S}erena and {D}adou, {I}. and {G}onzalez-{D}avila, {M}. and {S}antana-{C}asiano, {J}. {M}.},
  editor = {},
  language = {{ENG}},
  abstract = {{A}n accurate quantification of the role of the ocean as source/sink of greenhouse gases ({GHG}s) requires to access the high-resolution of the {GHG} air-sea flux at the interface. {I}n this paper we present a novel method to reconstruct maps of surface ocean partial pressure of {CO}2 (p{CO}(2)) and air-sea {CO}2 fluxes at super resolution (4 km, i.e., 1/32 degrees at these latitudes) using sea surface temperature ({SST}) and ocean color ({OC}) data at this resolution, and {C}arbon{T}racker {CO}2 fluxes data at low resolution (110 km). {I}nference of super-resolution p{CO}(2) and air-sea {CO}2 fluxes is performed using novel nonlinear signal processing methodologies that prove efficient in the context of oceanography. {T}he theoretical background comes from the microcanonical multi-fractal formalism which unlocks the geometrical determination of cascading properties of physical intensive variables. {A}s a consequence, a multi-resolution analysis performed on the signal of the so-called singularity exponents allows for the correct and near optimal cross-scale inference of {GHG} fluxes, as the inference suits the geometric realization of the cascade. {W}e apply such a methodology to the study offshore of the {B}enguela area. {T}he inferred representation of oceanic partial pressure of {CO}2 improves and enhances the description provided by {C}arbon{T}racker, capturing the small-scale variability. {W}e examine different combinations of ocean color and sea surface temperature products in order to increase the number of valid points and the quality of the inferred p{CO}(2) field. {T}he methodology is validated using in situ measurements by means of statistical errors. {W}e find that mean absolute and relative errors in the inferred values of p{CO}(2) with respect to in situ measurements are smaller than for {C}arbon{T}racker.},
  keywords = {{ATLANTIQUE} {SUD} {EST}},
  booktitle = {},
  journal = {{B}iogeosciences},
  volume = {12},
  numero = {17},
  pages = {5229--5245},
  ISSN = {1726-4170},
  year = {2015},
  DOI = {10.5194/bg-12-5229-2015},
  URL = {https://www.documentation.ird.fr/hor/fdi:010065289},
}